Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data-Reference-Cited by-同舟云学术

Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data

Published:2017 Issue: Volume: Page:123-140
ISSN:2197-6503
Container-title:Studies in Big Data
language:
Short-container-title:

Author:

Liu Han,Gegov Alexander,Cocea Mihaela

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-53474-9_6

Reference38 articles.

1. H. Liu, A. Gegov and M. Cocea, Rule Based Systems for Big Data: A Machine Learning Approach, 1 ed., vol. 13, Switzerland: Springer, 2016.

2. “What is Big Data,” SAS Institute Inc, [Online]. Available: http://www.sas.com/big-data/ . [Accessed 17 May 2015].

3. “Master Data Management for Big Data,” IBM, [Online]. Available: http://www.01.ibm.com/software/data/infosphere/mdm-big-data/ . [Accessed 17 May 2015].

4. W. Pedrycz and S. M. Chen, Eds., Information Granularity, Big Data, and Computational Intelligence, vol. 8, Switzerland: Springer, 2015.

5. P. Levine, “Machine Learning + Big Data,” WorldPress, [Online]. Available: http://a16z.com/2015/01/22/machine-learning-big-data/ . [Accessed 15 May 2015].

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